arXiv Machine Learning By Leo Maynard-Zhang, Sunmook Choi, Yahya Sattar, Yassir Jedra, Sarah Dean, Maryam Fazel

Performance Gaps Between Open-Loop, Certainty-Equivalent, and Optimal Control Under Action-Dependent Observations

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arXiv:2610. 33412v1 Announce Type: new Abstract: In dynamical systems, feedback can improve performance by allowing decisions to depend on past observations, rather than being designed a priori.

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arXiv Machine Learning
Aug 17

Consistent Model Chasing Is Minimax Optimal: The Exact Value of Scalar Adversarial Adaptive Control under Large Parametric Uncertainty

arXiv:2608. 13651v1 Announce Type: cross Abstract: We solve exactly a fundamental problem of adaptive control against adversarial disturbances: regulate the scalar system $x_{t+1} = ax_t + u_t + w_t$, $x_0=0$, $\|w\|_\infty \le 1$, where the constant pole $a \in [-\Delta, \Delta]$ is unknown in sign and magnitude and $\Delta$ is arbitrarily large.

By Dimitar Ho